Research challenges for visualization software

Hank Childs; Berk Geveci; Will Schroeder; Jeremy Meredith; Kenneth Moreland; Christopher Sewell; Torsten Kuhlen; E. Wes Bethel

doi:10.1109/MC.2013.179

Research challenges for visualization software

Hank Childs, Berk Geveci, Will Schroeder, Jeremy Meredith, Kenneth Moreland, Christopher Sewell, Torsten Kuhlen, E. Wes Bethel

Research output: Contribution to specialist publication › Article

38 Scopus citations

Abstract

As the visualization research community reorients its software to address up-coming challenges, it must successfully deal with diverse processor architectures, distributed systems, various data sources, massive parallelism, multiple input and output devices, and interactivity.

Original language	English
Pages	34-42
Number of pages	9
Volume	46
No	5
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2013.179
State	Published - 2013
Externally published	Yes

Keywords

big data
large data visualization
parallel visualization
virtual reality
visualization software

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10.1109/MC.2013.179

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abstract = "As the visualization research community reorients its software to address up-coming challenges, it must successfully deal with diverse processor architectures, distributed systems, various data sources, massive parallelism, multiple input and output devices, and interactivity.",

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author = "Hank Childs and Berk Geveci and Will Schroeder and Jeremy Meredith and Kenneth Moreland and Christopher Sewell and Torsten Kuhlen and \{Wes Bethel\}, E.",

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AU - Childs, Hank

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AU - Schroeder, Will

AU - Meredith, Jeremy

AU - Moreland, Kenneth

AU - Sewell, Christopher

AU - Kuhlen, Torsten

AU - Wes Bethel, E.

PY - 2013

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KW - large data visualization

KW - parallel visualization

KW - virtual reality

KW - visualization software

UR - https://www.scopus.com/pages/publications/84877902171

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DO - 10.1109/MC.2013.179

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JO - Computer

JF - Computer

ER -

Research challenges for visualization software

Abstract

Keywords

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